Graph Learning based Recommender Systems: A Review

Graph Learning based Recommender Systems: A Review

13 May 2021

Philip S. Yu

Papers citing "Graph Learning based Recommender Systems: A Review"

18 / 18 papers shown

Title
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation Chengkai Huang Shoujin Wang Xianzhi Wang Lina Yao 56 7 0 29 Oct 2024
EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs Utkarsh Priyam Hemit Shah Edoardo Botta DiffM 28 1 0 23 Sep 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 46 1 0 05 Apr 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 40 1 0 06 Mar 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 81 6 0 18 Jan 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 26 3 0 29 Aug 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 33 9 0 10 Jul 2023
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges Xuansheng Wu Kaixiong Zhou Mingchen Sun Xin Wang Ninghao Liu 51 12 0 13 Mar 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 28 13 0 18 Jan 2023
Modeling Multi-interest News Sequence for News Recommendation Rongyao Wang Wenpeng Lu 11 2 0 15 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis Mohammad Sabbaqi Elvin Isufi GNN AI4TS 40 14 0 30 Jun 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan Shirui Pan Yuan Xie GNN 10 41 0 10 Feb 2022
Aspect-driven User Preference and News Representation Learning for News Recommendation Rongyao Wang Wenpeng Lu Shoujin Wang Xueping Peng Hao Wu Qian Zhang AI4TS 29 11 0 12 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 37 22 0 20 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 38 18 0 21 Jul 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020